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How to train a FLUX.1 LoRA: trainers, VRAM and settings

Everything we have verified about training FLUX.1 LoRAs: which trainers support it, VRAM, settings and where to rent a GPU.

Trainer support

VRAM

ai-toolkit ships a 24GB example config (train_lora_flux_24gb.yaml)

→ Train FLUX.1 on 24 GB

Settings that work

• Community: ai-toolkit easiest; SimpleTuner more powerful (teacher-student regularization), harder data loader

Trainer comparisons

• ai-toolkit vs OneTrainer
• ai-toolkit vs kohya sd-scripts
• ai-toolkit vs SimpleTuner
• OneTrainer vs kohya sd-scripts
• OneTrainer vs SimpleTuner
• kohya sd-scripts vs SimpleTuner

Where to rent a 24 GB+ GPU

Cheapest 24 GB+ cards (2026-10-16 14:43 UTC) from RunPod and Vast.ai. Prices move constantly; see the live price table.

Sources

• www.reddit.com/r/FluxAI/comments/1ogw37j/best_flux_lora_trainer/
• github.com/nerogar/OneTrainer
• github.com/ostris/ai-toolkit#readme
• github.com/kohya-ss/sd-scripts#readme
• github.com/kohya-ss/musubi-tuner#readme

FAQ

Which trainers support FLUX.1?

ai-toolkit, OneTrainer, kohya sd-scripts, SimpleTuner

How much VRAM does FLUX.1 LoRA training need?

ai-toolkit ships a 24GB example config (train_lora_flux_24gb.yaml)

Data updated 2026-10-16. Disclosure: RunPod and Vast.ai links are referral links; ImageLoRA may earn a commission at no cost to you. unknown = not yet verified from a source.